IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-498-3_13.html

Research on the Construction of Technology Co-opetition Network Based on Patents and Its Application in Industrial Analysis

In: Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)

Author

Listed:
  • Yan Li

    (Institute of Scientific and Technical Information of China)

  • Yingfan Gao

    (Institute of Scientific and Technical Information of China)

  • Di Cui

    (Institute of Scientific and Technical Information of China)

  • Mo Pu

    (Institute of Scientific and Technical Information of China)

  • Ming Yuan

    (Institute of Scientific and Technical Information of China)

Abstract

Objective This study constructs a technology co-opetition network based on patent data, which then reveals the competitive and collaborative relationships in the technological field. By analyzing the innovation characteristics and advantages of enterprises, industries, and regions, it provides important theoretical and practical guidance for technological innovation and industrial development. Methods The main research methodology of this study proceeds in three steps: “identification of technological competitors, construction of co-opetition network, and industrial analysis.” This involves methods such as patent metrics, social network analysis, complex network analysis, as well as text analysis algorithms including natural language processing and similarity calculation. Results By constructing competitive-cooperative networks for the upstream, midstream, and downstream sectors, as well as for the segmented industries of the rare-earth permanent magnet industry, and by calculating data such as the competitive-cooperative coefficient, it is possible to conduct a targeted analysis of the current state of the industry. Incorporating multi-dimensional analysis that includes cities and industries not only reveals the competitive-cooperative status but also allows for targeted policy recommendations to local governments. Limitations This study has some limitations and shortcomings, such as the lack of uniformity in the indicators for relationships in the co-opetition network. That is, the current network analysis treats the co-opetition network as an unweighted network, but in reality, the network exists with different weight of competitive relation, cooperative relation, and potential cooperative relation. Conclusions This study provides a new method for industry analysis by delving into the content of patent texts and constructing a co-opetition network for industrial analysis. The method is highly operational and interpretable, allowing for its application in various fields of analysis.

Suggested Citation

  • Yan Li & Yingfan Gao & Di Cui & Mo Pu & Ming Yuan, 2024. "Research on the Construction of Technology Co-opetition Network Based on Patents and Its Application in Industrial Analysis," Advances in Economics, Business and Management Research, in: Chen Bai & Yue Cao & Wenqian Jin (ed.), Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023), pages 151-162, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-498-3_13
    DOI: 10.2991/978-94-6463-498-3_13
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-498-3_13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.